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Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Quadrotor control, path planning and trajectory optimization
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
Self-contained implementation of non-convex optimization algorithms in python. Steepest Descent, Conjugate Gradient, Newton's Method, Quasi-newton (BFGS), l-BFGS
Implemented a pipeline for automatic face replacement in videos (without deep learning). Image morphing, triangulation, TPS, Poisson blending, etc.
Implemented Unscented Kalman Filter (UKF) for orientation tracking. Sensors fusion of accelerometer, and gyroscope